Yolo v4 example with ofxTensorFlow2

Here is a Yolo v4 example made with ofxTensorFlow2: ofxTensorFlow2/example_yolo_v4 at example_yolo_v4 · Jonathhhan/ofxTensorFlow2 · GitHub
It uses this model: GitHub - hunglc007/tensorflow-yolov4-tflite: YOLOv4, YOLOv4-tiny, YOLOv3, YOLOv3-tiny Implemented in Tensorflow 2.0, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite
The weigths: .pb is not downloable · Issue #451 · hunglc007/tensorflow-yolov4-tflite · GitHub
need to be converted like this: python save_model.py --weights ./data/yolov4.weights --output ./checkpoints/yolov4-416 --input_size 416 --model yolov4
And to be usable with GPU the model needs to be converted with Tensorflow 2.3.
It uses a modified (and included) version of GitHub - martinkersner/non-maximum-suppression-cpp for non-maximum suppression.